The DOI matches its Crossref record.
Hurricane Wind Field Model for Use in Hurricane Simulations
Abstract
A critical component in the simulation of hurricanes is a good representation of the hurricane wind field when given information of the storm intensity, size, and translation speed. In the investigation described here, the full nonlinear solution to the equations of motion of a hurricane are solved and then parameterized for use in fast-running simulations. The hurricane model described here takes into account the effects of changing sea surface roughness and the air-sea temperature difference on the estimated surface-level wind speeds. Comparisons between modeled and observed hurricane wind speed records are performed where one compares both the 10-min mean wind speeds and the peak gust wind speeds. The resulting wind field model represents the most physically based and validated model used in the estimate of hurricane wind speed exceedance probabilities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Reduced drag coefficient for high wind speeds in tropical cyclones
Powell, M. D., Vickery, P. J., & Reinhold, T. A. (2003) · Nature · doi:10.1038/nature01481 · Cited by 1,515
Self-citationRISK-BASED ASSESSMENT AND STRENGTHENING OF ELECTRIC POWER SYSTEMS SUBJECTED TO NATURAL HAZARDS
Salman, A. (2020) · doi:10.37099/mtu.dc.etdr/207 · Cited by 8
Metadata
- Authors
- Vickery, P. J., Skerlj, P. F., Steckley, A. C., & Twisdale, L. A.
- Venue
- Journal of Structural Engineering
- Published
- 2000-10
- Volume
- 126
- Issue
- 10
- Pages
- 1203-1221
- ISSN
- 0733-9445 (ISSN-L)
- 1943-541X
- DOI
- 10.1061/(asce)0733-9445(2000)126:10(1203
- OpenAlex
- W1970267724
- Cited by
- 312
- References
- 0
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hurricane Wind Field Model for Use in Hurricane Simulations. https://app.cochat.ai/papers/10.1061/(asce)0733-9445(2000)126:10(1203
- The paper
- Vickery, P. J., Skerlj, P. F., Steckley, A. C., & Twisdale, L. A. (2000). Hurricane Wind Field Model for Use in Hurricane Simulations. Journal of Structural Engineering. https://doi.org/10.1061/(asce)0733-9445(2000)126%3A10(1203
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
